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Found 5 papers, 1 papers with code
Deep Learning based Forecasting: a case study from the online fashion industry
These include the volume of data, the irregularity, the high amount of turn-over in the catalog and the fixed inventory assumption.
Probabilistic Time Series Forecasting with Implicit Quantile Networks
Here, we propose a general method for probabilistic time series forecasting.
Automatic Pronunciation Generation by Utilizing a Semi-supervised Deep Neural Networks
Phonemic or phonetic sub-word units are the most commonly used atomic elements to represent speech signals in modern ASRs.
A Boosting Framework on Grounds of Online Learning
By exploiting the duality between boosting and online learning, we present a boosting framework which proves to be extremely powerful thanks to employing the vast knowledge available in the online learning area.
A Semidefinite Programming Based Search Strategy for Feature Selection with Mutual Information Measure
In the feature subset selection problem there are two main issues that need to be addressed: (i) Finding an appropriate measure function than can be fairly fast and robustly computed for high-dimensional data.
